README.md

metadata

library_name: transformers
license: llama3.1
language:
  - ko
  - vi
  - id
  - km
  - th
metrics:
  - bleu
  - rouge
base_model: MLP-KTLim/llama-3.1-Asian-Bllossom-8B-Translator
tags:
  - mlx

Fmuaddib/llama-3.1-Asian-Bllossom-8B-Translator-mlx-fp16

The Model Fmuaddib/llama-3.1-Asian-Bllossom-8B-Translator-mlx-fp16 was converted to MLX format from MLP-KTLim/llama-3.1-Asian-Bllossom-8B-Translator using mlx-lm version 0.22.1.

Use with mlx

pip install mlx-lm

from mlx_lm import load, generate

model, tokenizer = load("Fmuaddib/llama-3.1-Asian-Bllossom-8B-Translator-mlx-fp16")

prompt="hello"

if hasattr(tokenizer, "apply_chat_template") and tokenizer.chat_template is not None:
    messages = [{"role": "user", "content": prompt}]
    prompt = tokenizer.apply_chat_template(
        messages, tokenize=False, add_generation_prompt=True
    )

response = generate(model, tokenizer, prompt=prompt, verbose=True)